In materials science, substances are often classified based on defining factors such as their elemental composition or crystalline structure. This classification is crucial for advances in materials ...

A recent study published in Engineering utilized machine learning to identify distinct clusters of chronic obstructive pulmonary disease (COPD) patients in China, highlighting how comorbidity profiles ...

In recent years, machine learning (ML) algorithms have proved themselves to be remarkably useful in helping people deal with different tasks: data classification and clustering, pattern revealing, ...

Researchers from Tokyo Metropolitan University have developed a suite of algorithms to automate the counting of sister ...

Machine learning is reshaping the way portfolios are built, monitored, and adjusted. Investors are no longer limited to ...